The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.
The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods.
This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series.An additional file is available on the book’s website for download, making all the data sets and scripts easy to load into R.
發表於2024-11-24
Time Series Analysis and Its Applications 2024 pdf epub mobi 電子書 下載
碩士期間學過時間序列分析,重點在於希爾伯特空間視角下的時間序列,需要比較強的泛函水平,學的一塌糊塗。近日因為工作願意,需要利用時間序列分析進行一些分析建模,在quick R的主頁上鏈接到瞭本書的頁麵,隨即在互聯網上下到這本書的電子版,讀瞭一下導讀和要用到的幾個例子...
評分此書內容全麵且比較新,除瞭傳統內容(ARIMA,spectral analysis,state-space models)以外,還介紹瞭不少該領域中其他一些重要的topics或者新近的發展,諸如:GARCH,long-run memory process,threshold等。個人認為本書對ARIMA的介紹很好,第三章最後兩節用幾個例子介紹瞭Box-J...
評分碩士期間學過時間序列分析,重點在於希爾伯特空間視角下的時間序列,需要比較強的泛函水平,學的一塌糊塗。近日因為工作願意,需要利用時間序列分析進行一些分析建模,在quick R的主頁上鏈接到瞭本書的頁麵,隨即在互聯網上下到這本書的電子版,讀瞭一下導讀和要用到的幾個例子...
評分此書內容全麵且比較新,除瞭傳統內容(ARIMA,spectral analysis,state-space models)以外,還介紹瞭不少該領域中其他一些重要的topics或者新近的發展,諸如:GARCH,long-run memory process,threshold等。個人認為本書對ARIMA的介紹很好,第三章最後兩節用幾個例子介紹瞭Box-J...
評分碩士期間學過時間序列分析,重點在於希爾伯特空間視角下的時間序列,需要比較強的泛函水平,學的一塌糊塗。近日因為工作願意,需要利用時間序列分析進行一些分析建模,在quick R的主頁上鏈接到瞭本書的頁麵,隨即在互聯網上下到這本書的電子版,讀瞭一下導讀和要用到的幾個例子...
圖書標籤: 數學 計量經濟學 Statistics R 計量經濟 計算機 英文原版 統計學
Time Series Analysis and Its Applications 2024 pdf epub mobi 電子書 下載